Zaheed Gaffoor
University of the Western Cape
6 Papers
3 Citations
Zaheed Gaffoor is an academic researcher from University of the Western Cape. The author has contributed to research in topics: Computer science & Aquifer. The author has an hindex of 1, co-authored 2 publications.
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Papers
Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community
TL;DR: It is shown that sufficient big data exist in groundwater domain and that BDA exists to be used in groundwater sciences thereby providing the basis to further explore data-driven sciences in groundwater management.
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A Comparison of Ensemble and Deep Learning Algorithms to Model Groundwater Levels in a Data-Scarce Aquifer of Southern Africa
Zaheed Gaffoor,Kevin Pietersen,Nebojsa Jovanovic,Antoine Bagula,Thokozani Kanyerere,Olasupo Ajayi,Gift J. Wanangwa +6 more
TL;DR: In this paper , two machine learning algorithms, a gradient-boosted decision tree (GBDT) and a long short-term memory neural network (LSTM-NN), were used to model groundwater level (GWL) changes in the Shire Valley Alluvial Aquifer.
Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data
Paolo Fraccaro,N. Stoyanov,Zaheed Gaffoor,Laura Elena Cué La Rosa,Jitendra Kumar Singh,Tatsuya Ishikawa,Blair Edwards,A. Jones,Komminist Weldemariam +8 more
- 28 Jun 2022
TL;DR: This study investigated whether adding extra input layers could increase the performance of AI models in detecting floods from S1 data and developed the infrastructure to deploy AI models at scale to satisfy a range of use cases and user requests.
Prospective policy safeguards to mitigate hydrogeological risk pathways in advance of shale gas development in the Karoo basin, South Africa
Kevin Pietersen,Luc Chevallier,Audrey D. Levine,Thandokazi Maceba,Zaheed Gaffoor,Thokozani Kanyerere +5 more
TL;DR: In this article, the authors provide a prospective analysis of hydrogeological risk pathways and vulnerability attributes in advance of anticipated shale gas operations in the Karoo Basin of South Africa, and describe a systematic approach to evaluate hydrogeologic risk pathways.
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